Rende Shui

639 citations
30 papers · 435 · h-index 11

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 16
    • Visual perception and processing mechanisms 14
    • EEG and Brain-Computer Interfaces 4
    • Memory and Neural Mechanisms 4
    • Face Recognition and Perception 4
    • Action Observation and Synchronization 4
    • Human-Automation Interaction and Safety 4

Rende Shui

30 papers receiving 426 citations

Peers

Rende Shui
Comparison fields: 5 of 52
  • Cognitive Neuroscience 373
  • Experimental and Cognitive Psychology 92
  • Human-Computer Interaction 36
  • Social Psychology 113
  • Sensory Systems 17
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Beena Khurana United Kingdom
Stefania D’Ascenzo Italy
Lisa N. Jefferies Canada
Linus Holm Sweden
Igor Juricevic United States
S. Gareth Edwards United Kingdom
Adrien Chopin France
Ben Bauer Canada
Chaoxiong Ye China
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Citations per field
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Citations per year

Countries citing papers authored by Rende Shui

Since Specialization
Citations

This map shows the geographic impact of Rende Shui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rende Shui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rende Shui more than expected).

Fields of papers citing papers by Rende Shui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rende Shui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rende Shui. The network helps show where Rende Shui may publish in the future.

Co-authors

The 25 scholars most cited alongside Rende Shui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rende Shui Line = papers co-authored together Rende Shui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201544
3 201139
4 201135
5 201332
6 201628
7 201127
8 201025
9 201519
10 201312
11 201310
12 20168
13 20148
14 20127
15 20157
16 20166
17
Detectability and Comprehensibility Study on Audio Hyperlinking Methods.
20015
18 20075
19 20115
20 20165

About Rende Shui

Rende Shui is a scholar working on Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology, Human-Computer Interaction and Sociology and Political Science, having authored 30 papers that have together received 435 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (16 papers), Visual perception and processing mechanisms (14 papers), Action Observation and Synchronization (4 papers), EEG and Brain-Computer Interfaces (4 papers), Human-Automation Interaction and Safety (4 papers), Memory and Neural Mechanisms (4 papers), Face Recognition and Perception (4 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (373 citations), Experimental and Cognitive Psychology (92 citations), Human-Computer Interaction (36 citations), Social Psychology (113 citations) and Sensory Systems (17 citations). Rende Shui has collaborated with scholars based in China and United States. Frequent co-authors include Mowei Shen, Zaifeng Gao, Jun Yin, Fan Wu, Jifan Zhou, Junying Liang, Xiaotian Xu, Zhibo Chen, Xiaowei Ding and Xiaowei Ding. Their work appears in journals such as Cognition, Journal of Vision, Journal of Experimental Psychology Human Perception & Performance, PLoS ONE and Quarterly Journal of Experimental Psychology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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